diff --git a/Grid/simd/Grid_vector_types.h b/Grid/simd/Grid_vector_types.h
index c67e74cb..707af211 100644
--- a/Grid/simd/Grid_vector_types.h
+++ b/Grid/simd/Grid_vector_types.h
@@ -10,6 +10,7 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
 Author: Guido Cossu <cossu@iroiro-pc.kek.jp>
 Author: Peter Boyle <paboyle@ph.ed.ac.uk>
 Author: neo <cossu@post.kek.jp>
+Author: Michael Marshall <michael.marshall@ed.ac.au>
 
 This program is free software; you can redistribute it and/or modify
 it under the terms of the GNU General Public License as published by
@@ -89,17 +90,25 @@ template <typename Condition, typename ReturnType> using NotEnableIf = Invoke<st
 ////////////////////////////////////////////////////////
 // Check for complexity with type traits
 template <typename T> struct is_complex : public std::false_type {};
-template <> struct is_complex<std::complex<double> > : public std::true_type {};
-template <> struct is_complex<std::complex<float> > : public std::true_type {};
+template <> struct is_complex<ComplexD> : public std::true_type {};
+template <> struct is_complex<ComplexF> : public std::true_type {};
 
-template <typename T>              using IfReal    = Invoke<std::enable_if<std::is_floating_point<T>::value, int> >;
+template<typename T, typename V=void> struct is_real : public std::false_type {};
+template<typename T> struct is_real<T, typename std::enable_if<std::is_floating_point<T>::value,
+  void>::type> : public std::true_type {};
+
+template<typename T, typename V=void> struct is_integer : public std::false_type {};
+template<typename T> struct is_integer<T, typename std::enable_if<std::is_integral<T>::value,
+  void>::type> : public std::true_type {};
+  
+template <typename T>              using IfReal    = Invoke<std::enable_if<is_real<T>::value, int> >;
 template <typename T>              using IfComplex = Invoke<std::enable_if<is_complex<T>::value, int> >;
-template <typename T>              using IfInteger = Invoke<std::enable_if<std::is_integral<T>::value, int> >;
+template <typename T>              using IfInteger = Invoke<std::enable_if<is_integer<T>::value, int> >;
 template <typename T1,typename T2> using IfSame    = Invoke<std::enable_if<std::is_same<T1,T2>::value, int> >;
 
-template <typename T>              using IfNotReal    = Invoke<std::enable_if<!std::is_floating_point<T>::value, int> >;
+template <typename T>              using IfNotReal    = Invoke<std::enable_if<!is_real<T>::value, int> >;
 template <typename T>              using IfNotComplex = Invoke<std::enable_if<!is_complex<T>::value, int> >;
-template <typename T>              using IfNotInteger = Invoke<std::enable_if<!std::is_integral<T>::value, int> >;
+template <typename T>              using IfNotInteger = Invoke<std::enable_if<!is_integer<T>::value, int> >;
 template <typename T1,typename T2> using IfNotSame    = Invoke<std::enable_if<!std::is_same<T1,T2>::value, int> >;
 
 ////////////////////////////////////////////////////////
@@ -857,8 +866,10 @@ template <typename T>
 struct is_simd : public std::false_type {};
 template <> struct is_simd<vRealF>     : public std::true_type {};
 template <> struct is_simd<vRealD>     : public std::true_type {};
+template <> struct is_simd<vRealH>     : public std::true_type {};
 template <> struct is_simd<vComplexF>  : public std::true_type {};
 template <> struct is_simd<vComplexD>  : public std::true_type {};
+template <> struct is_simd<vComplexH>  : public std::true_type {};
 template <> struct is_simd<vInteger>   : public std::true_type {};
 
 template <typename T> using IfSimd    = Invoke<std::enable_if<is_simd<T>::value, int> >;
diff --git a/Grid/tensors/Tensor_class.h b/Grid/tensors/Tensor_class.h
index c7f868db..d59640df 100644
--- a/Grid/tensors/Tensor_class.h
+++ b/Grid/tensors/Tensor_class.h
@@ -5,6 +5,7 @@ Copyright (C) 2015
 
 Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
 Author: Peter Boyle <paboyle@ph.ed.ac.uk>
+Author: Michael Marshall <michael.marshall@ed.ac.au>
 
 This program is free software; you can redistribute it and/or modify
 it under the terms of the GNU General Public License as published by
@@ -42,27 +43,26 @@ namespace Grid {
 //
 class GridTensorBase {};
 
+// Too late to remove these traits from Grid Tensors, so inherit from GridTypeMapper
+#define GridVector_CopyTraits \
+  using element = vtype; \
+  using scalar_type     = typename Traits::scalar_type; \
+  using vector_type     = typename Traits::vector_type; \
+  using vector_typeD    = typename Traits::vector_typeD; \
+  using tensor_reduced  = typename Traits::tensor_reduced; \
+  using scalar_object   = typename Traits::scalar_object; \
+  using Complexified    = typename Traits::Complexified; \
+  using Realified       = typename Traits::Realified; \
+  using DoublePrecision = typename Traits::DoublePrecision; \
+  static constexpr int TensorLevel = Traits::TensorLevel
+
 template <class vtype>
 class iScalar {
  public:
   vtype _internal;
 
-  typedef vtype element;
-  typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
-  typedef typename GridTypeMapper<vtype>::vector_type vector_type;
-  typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
-  typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
-  typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
-  typedef iScalar<tensor_reduced_v> tensor_reduced;
-  typedef iScalar<recurse_scalar_object> scalar_object;
-  // substitutes a real or complex version with same tensor structure
-  typedef iScalar<typename GridTypeMapper<vtype>::Complexified> Complexified;
-  typedef iScalar<typename GridTypeMapper<vtype>::Realified> Realified;
-
-  // get double precision version
-  typedef iScalar<typename GridTypeMapper<vtype>::DoublePrecision> DoublePrecision;
-  
-  enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
+  using Traits = GridTypeMapper<iScalar<vtype> >;
+  GridVector_CopyTraits;
 
   // Scalar no action
   //  template<int Level> using tensor_reduce_level = typename
@@ -173,7 +173,10 @@ class iScalar {
     return stream;
   };
 
-
+  strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(&_internal); }
+  strong_inline       scalar_type * begin()       { return reinterpret_cast<      scalar_type *>(&_internal); }
+  strong_inline const scalar_type * end()   const { return begin() + Traits::count; }
+  strong_inline       scalar_type * end()         { return begin() + Traits::count; }
 };
 ///////////////////////////////////////////////////////////
 // Allows to turn scalar<scalar<scalar<double>>>> back to double.
@@ -194,22 +197,9 @@ class iVector {
  public:
   vtype _internal[N];
 
-  typedef vtype element;
-  typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
-  typedef typename GridTypeMapper<vtype>::vector_type vector_type;
-  typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
-  typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
-  typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
-  typedef iScalar<tensor_reduced_v> tensor_reduced;
-  typedef iVector<recurse_scalar_object, N> scalar_object;
+  using Traits = GridTypeMapper<iVector<vtype, N> >;
+  GridVector_CopyTraits;
 
-  // substitutes a real or complex version with same tensor structure
-  typedef iVector<typename GridTypeMapper<vtype>::Complexified, N> Complexified;
-  typedef iVector<typename GridTypeMapper<vtype>::Realified, N> Realified;
-
-  // get double precision version
-  typedef iVector<typename GridTypeMapper<vtype>::DoublePrecision, N> DoublePrecision;
-  
   template <class T, typename std::enable_if<!isGridTensor<T>::value, T>::type
                          * = nullptr>
   strong_inline auto operator=(T arg) -> iVector<vtype, N> {
@@ -218,7 +208,6 @@ class iVector {
     return *this;
   }
 
-  enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
   iVector(const Zero &z) { *this = zero; };
   iVector() = default;
   /*
@@ -303,6 +292,11 @@ class iVector {
   //    strong_inline vtype && operator ()(int i) {
   //      return _internal[i];
   //    }
+
+  strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(_internal); }
+  strong_inline       scalar_type * begin()       { return reinterpret_cast<      scalar_type *>(_internal); }
+  strong_inline const scalar_type * end()   const { return begin() + Traits::count; }
+  strong_inline       scalar_type * end()         { return begin() + Traits::count; }
 };
 
 template <class vtype, int N>
@@ -310,25 +304,8 @@ class iMatrix {
  public:
   vtype _internal[N][N];
 
-  typedef vtype element;
-  typedef typename GridTypeMapper<vtype>::scalar_type scalar_type;
-  typedef typename GridTypeMapper<vtype>::vector_type vector_type;
-  typedef typename GridTypeMapper<vtype>::vector_typeD vector_typeD;
-  typedef typename GridTypeMapper<vtype>::tensor_reduced tensor_reduced_v;
-  typedef typename GridTypeMapper<vtype>::scalar_object recurse_scalar_object;
-
-  // substitutes a real or complex version with same tensor structure
-  typedef iMatrix<typename GridTypeMapper<vtype>::Complexified, N> Complexified;
-  typedef iMatrix<typename GridTypeMapper<vtype>::Realified, N> Realified;
-
-  // get double precision version
-  typedef iMatrix<typename GridTypeMapper<vtype>::DoublePrecision, N> DoublePrecision;
-  
-  // Tensor removal
-  typedef iScalar<tensor_reduced_v> tensor_reduced;
-  typedef iMatrix<recurse_scalar_object, N> scalar_object;
-
-  enum { TensorLevel = GridTypeMapper<vtype>::TensorLevel + 1 };
+  using Traits = GridTypeMapper<iMatrix<vtype, N> >;
+  GridVector_CopyTraits;
 
   iMatrix(const Zero &z) { *this = zero; };
   iMatrix() = default;
@@ -458,6 +435,11 @@ class iMatrix {
   //  strong_inline vtype && operator ()(int i,int j) {
   //    return _internal[i][j];
   //  }
+
+  strong_inline const scalar_type * begin() const { return reinterpret_cast<const scalar_type *>(_internal[0]); }
+  strong_inline       scalar_type * begin()       { return reinterpret_cast<      scalar_type *>(_internal[0]); }
+  strong_inline const scalar_type * end()   const { return begin() + Traits::count; }
+  strong_inline       scalar_type * end()         { return begin() + Traits::count; }
 };
 
 template <class v>
@@ -480,6 +462,3 @@ void vprefetch(const iMatrix<v, N> &vv) {
 }
 }
 #endif
-
-
-
diff --git a/Grid/tensors/Tensor_traits.h b/Grid/tensors/Tensor_traits.h
index c1ef397a..9cb93e17 100644
--- a/Grid/tensors/Tensor_traits.h
+++ b/Grid/tensors/Tensor_traits.h
@@ -5,6 +5,7 @@
 Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
 Author: Peter Boyle <paboyle@ph.ed.ac.uk>
 Author: Christopher Kelly <ckelly@phys.columbia.edu>
+Author: Michael Marshall <michael.marshall@ed.ac.au>
     This program is free software; you can redistribute it and/or modify
     it under the terms of the GNU General Public License as published by
     the Free Software Foundation; either version 2 of the License, or
@@ -26,6 +27,17 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
 
 namespace Grid {
 
+  // Forward declarations
+  template<class T>        class iScalar;
+  template<class T, int N> class iVector;
+  template<class T, int N> class iMatrix;
+
+  // These are the Grid tensors
+  template<typename T>     struct isGridTensor                : public std::false_type { static constexpr bool notvalue = true; };
+  template<class T>        struct isGridTensor<iScalar<T>>    : public std::true_type  { static constexpr bool notvalue = false; };
+  template<class T, int N> struct isGridTensor<iVector<T, N>> : public std::true_type  { static constexpr bool notvalue = false; };
+  template<class T, int N> struct isGridTensor<iMatrix<T, N>> : public std::true_type  { static constexpr bool notvalue = false; };
+
 //////////////////////////////////////////////////////////////////////////////////
 // Want to recurse: GridTypeMapper<Matrix<vComplexD> >::scalar_type == ComplexD.
 // Use of a helper class like this allows us to template specialise and "dress"
@@ -40,25 +52,26 @@ namespace Grid {
 // to study C++11's type_traits.h file. (std::enable_if<isGridTensorType<vtype> >)
 //
 //////////////////////////////////////////////////////////////////////////////////
-  
-  template <class T> class GridTypeMapper {
-  public:
-    typedef typename T::scalar_type scalar_type;
-    typedef typename T::vector_type vector_type;
-    typedef typename T::vector_typeD vector_typeD;
-    typedef typename T::tensor_reduced tensor_reduced;
-    typedef typename T::scalar_object scalar_object;
-    typedef typename T::Complexified Complexified;
-    typedef typename T::Realified Realified;
-    typedef typename T::DoublePrecision DoublePrecision;
-    enum { TensorLevel = T::TensorLevel };
+
+  // This saves repeating common properties for supported Grid Scalar types
+  // TensorLevel    How many nested grid tensors
+  // Rank           Rank of the grid tensor
+  // count          Total number of elements, i.e. product of dimensions
+  // Dimension(dim) Size of dimension dim
+  struct GridTypeMapper_Base {
+    static constexpr int TensorLevel = 0;
+    static constexpr int Rank = 0;
+    static constexpr std::size_t count = 1;
+    static constexpr int Dimension(int dim) { return 0; }
   };
 
 //////////////////////////////////////////////////////////////////////////////////
 // Recursion stops with these template specialisations
 //////////////////////////////////////////////////////////////////////////////////
-  template<> class GridTypeMapper<RealF> {
-  public:
+
+  template<typename T> struct GridTypeMapper {};
+
+  template<> struct GridTypeMapper<RealF> : public GridTypeMapper_Base {
     typedef RealF scalar_type;
     typedef RealF vector_type;
     typedef RealD vector_typeD;
@@ -67,10 +80,8 @@ namespace Grid {
     typedef ComplexF Complexified;
     typedef RealF Realified;
     typedef RealD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<RealD> {
-  public:
+  template<> struct GridTypeMapper<RealD> : public GridTypeMapper_Base {
     typedef RealD scalar_type;
     typedef RealD vector_type;
     typedef RealD vector_typeD;
@@ -79,10 +90,8 @@ namespace Grid {
     typedef ComplexD Complexified;
     typedef RealD Realified;
     typedef RealD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<ComplexF> {
-  public:
+  template<> struct GridTypeMapper<ComplexF> : public GridTypeMapper_Base {
     typedef ComplexF scalar_type;
     typedef ComplexF vector_type;
     typedef ComplexD vector_typeD;
@@ -91,10 +100,8 @@ namespace Grid {
     typedef ComplexF Complexified;
     typedef RealF Realified;
     typedef ComplexD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<ComplexD> {
-  public:
+  template<> struct GridTypeMapper<ComplexD> : public GridTypeMapper_Base {
     typedef ComplexD scalar_type;
     typedef ComplexD vector_type;
     typedef ComplexD vector_typeD;
@@ -103,10 +110,8 @@ namespace Grid {
     typedef ComplexD Complexified;
     typedef RealD Realified;
     typedef ComplexD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<Integer> {
-  public:
+  template<> struct GridTypeMapper<Integer> : public GridTypeMapper_Base {
     typedef Integer scalar_type;
     typedef Integer vector_type;
     typedef Integer vector_typeD;
@@ -115,11 +120,9 @@ namespace Grid {
     typedef void Complexified;
     typedef void Realified;
     typedef void DoublePrecision;
-    enum { TensorLevel = 0 };
   };
 
-  template<> class GridTypeMapper<vRealF> {
-  public:
+  template<> struct GridTypeMapper<vRealF> : public GridTypeMapper_Base {
     typedef RealF  scalar_type;
     typedef vRealF vector_type;
     typedef vRealD vector_typeD;
@@ -128,10 +131,8 @@ namespace Grid {
     typedef vComplexF Complexified;
     typedef vRealF Realified;
     typedef vRealD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<vRealD> {
-  public:
+  template<> struct GridTypeMapper<vRealD> : public GridTypeMapper_Base {
     typedef RealD  scalar_type;
     typedef vRealD vector_type;
     typedef vRealD vector_typeD;
@@ -140,10 +141,18 @@ namespace Grid {
     typedef vComplexD Complexified;
     typedef vRealD Realified;
     typedef vRealD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<vComplexH> {
-  public:
+  template<> struct GridTypeMapper<vRealH> : public GridTypeMapper_Base {
+    typedef RealF  scalar_type;
+    typedef vRealH vector_type;
+    typedef vRealD vector_typeD;
+    typedef vRealH tensor_reduced;
+    typedef RealF  scalar_object;
+    typedef vComplexH Complexified;
+    typedef vRealH Realified;
+    typedef vRealD DoublePrecision;
+  };
+  template<> struct GridTypeMapper<vComplexH> : public GridTypeMapper_Base {
     typedef ComplexF  scalar_type;
     typedef vComplexH vector_type;
     typedef vComplexD vector_typeD;
@@ -152,10 +161,8 @@ namespace Grid {
     typedef vComplexH Complexified;
     typedef vRealH Realified;
     typedef vComplexD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<vComplexF> {
-  public:
+  template<> struct GridTypeMapper<vComplexF> : public GridTypeMapper_Base {
     typedef ComplexF  scalar_type;
     typedef vComplexF vector_type;
     typedef vComplexD vector_typeD;
@@ -164,10 +171,8 @@ namespace Grid {
     typedef vComplexF Complexified;
     typedef vRealF Realified;
     typedef vComplexD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<vComplexD> {
-  public:
+  template<> struct GridTypeMapper<vComplexD> : public GridTypeMapper_Base {
     typedef ComplexD  scalar_type;
     typedef vComplexD vector_type;
     typedef vComplexD vector_typeD;
@@ -176,10 +181,8 @@ namespace Grid {
     typedef vComplexD Complexified;
     typedef vRealD Realified;
     typedef vComplexD DoublePrecision;
-    enum { TensorLevel = 0 };
   };
-  template<> class GridTypeMapper<vInteger> {
-  public:
+  template<> struct GridTypeMapper<vInteger> : public GridTypeMapper_Base {
     typedef  Integer scalar_type;
     typedef vInteger vector_type;
     typedef vInteger vector_typeD;
@@ -188,57 +191,52 @@ namespace Grid {
     typedef void Complexified;
     typedef void Realified;
     typedef void DoublePrecision;
-    enum { TensorLevel = 0 };
   };
 
-  // First some of my own traits
-  template<typename T> struct isGridTensor {
-    static const bool value = true;
-    static const bool notvalue = false;
+#define GridTypeMapper_RepeatedTypes \
+  using BaseTraits   = GridTypeMapper<T>; \
+  using scalar_type  = typename BaseTraits::scalar_type; \
+  using vector_type  = typename BaseTraits::vector_type; \
+  using vector_typeD = typename BaseTraits::vector_typeD; \
+  static constexpr int TensorLevel = BaseTraits::TensorLevel + 1
+
+  template<typename T> struct GridTypeMapper<iScalar<T>> {
+    GridTypeMapper_RepeatedTypes;
+    using tensor_reduced  = iScalar<typename BaseTraits::tensor_reduced>;
+    using scalar_object   = iScalar<typename BaseTraits::scalar_object>;
+    using Complexified    = iScalar<typename BaseTraits::Complexified>;
+    using Realified       = iScalar<typename BaseTraits::Realified>;
+    using DoublePrecision = iScalar<typename BaseTraits::DoublePrecision>;
+    static constexpr int Rank = BaseTraits::Rank + 1;
+    static constexpr std::size_t count = BaseTraits::count;
+    static constexpr int Dimension(int dim) {
+      return ( dim == 0 ) ? 1 : BaseTraits::Dimension(dim - 1); }
   };
-  template<> struct isGridTensor<int > {
-    static const bool value = false;
-    static const bool notvalue = true;
+
+  template<typename T, int N> struct GridTypeMapper<iVector<T, N>> {
+    GridTypeMapper_RepeatedTypes;
+    using tensor_reduced  = iScalar<typename BaseTraits::tensor_reduced>;
+    using scalar_object   = iVector<typename BaseTraits::scalar_object,   N>;
+    using Complexified    = iVector<typename BaseTraits::Complexified,    N>;
+    using Realified       = iVector<typename BaseTraits::Realified,       N>;
+    using DoublePrecision = iVector<typename BaseTraits::DoublePrecision, N>;
+    static constexpr int Rank = BaseTraits::Rank + 1;
+    static constexpr std::size_t count = BaseTraits::count * N;
+    static constexpr int Dimension(int dim) {
+      return ( dim == 0 ) ? N : BaseTraits::Dimension(dim - 1); }
   };
-  template<> struct isGridTensor<RealD > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<RealF > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<ComplexD > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<ComplexF > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<Integer > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<vRealD > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<vRealF > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<vComplexD > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<vComplexF > {
-    static const bool value = false;
-    static const bool notvalue = true;
-  };
-  template<> struct isGridTensor<vInteger > {
-    static const bool value = false;
-    static const bool notvalue = true;
+
+  template<typename T, int N> struct GridTypeMapper<iMatrix<T, N>> {
+    GridTypeMapper_RepeatedTypes;
+    using tensor_reduced  = iScalar<typename BaseTraits::tensor_reduced>;
+    using scalar_object   = iMatrix<typename BaseTraits::scalar_object,   N>;
+    using Complexified    = iMatrix<typename BaseTraits::Complexified,    N>;
+    using Realified       = iMatrix<typename BaseTraits::Realified,       N>;
+    using DoublePrecision = iMatrix<typename BaseTraits::DoublePrecision, N>;
+    static constexpr int Rank = BaseTraits::Rank + 2;
+    static constexpr std::size_t count = BaseTraits::count * N * N;
+    static constexpr int Dimension(int dim) {
+      return ( dim == 0 || dim == 1 ) ? N : BaseTraits::Dimension(dim - 2); }
   };
 
   // Match the index
@@ -263,20 +261,13 @@ namespace Grid {
     typedef T type;
   };
   
-  //Query if a tensor or Lattice<Tensor> is SIMD vector or scalar
-  template<typename T>
-  class isSIMDvectorized{
-    template<typename U>
-    static typename std::enable_if< !std::is_same< typename GridTypeMapper<typename getVectorType<U>::type>::scalar_type,   
-      typename GridTypeMapper<typename getVectorType<U>::type>::vector_type>::value, char>::type test(void *);
+  //Query whether a tensor or Lattice<Tensor> is SIMD vector or scalar
+  template<typename T, typename V=void> struct isSIMDvectorized : public std::false_type {};
+  template<typename U> struct isSIMDvectorized<U, typename std::enable_if< !std::is_same<
+    typename GridTypeMapper<typename getVectorType<U>::type>::scalar_type,
+    typename GridTypeMapper<typename getVectorType<U>::type>::vector_type>::value, void>::type>
+  : public std::true_type {};
 
-    template<typename U>
-    static double test(...);
-  
-  public:
-    enum {value = sizeof(test<T>(0)) == sizeof(char) };
-  };
-  
   //Get the precision of a Lattice, tensor or scalar type in units of sizeof(float)
   template<typename T>
   class getPrecision{